85 datasets found
  1. d

    Replication Data for: How Affordable Housing Can Exclude: The Political...

    • search.dataone.org
    Updated Sep 24, 2024
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    Palmer, Maxwell; Einstein, Katherine Levine (2024). Replication Data for: How Affordable Housing Can Exclude: The Political Economy of Subsidized Housing [Dataset]. http://doi.org/10.7910/DVN/I0U76E
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Palmer, Maxwell; Einstein, Katherine Levine
    Description

    Data and code to replicate the results "How Affordable Housing Can Exclude: The Political Economy of Subsidized Housing." All data on subsidized housing units provided by Housing Navigator Massachusetts (https://housingnavigatorma.org/). All demographic data retrieved from the 2018-2022 American Community Survey 5-year averages.

  2. p

    Low Income Housing Programs in Massachusetts, United States - 69 Verified...

    • poidata.io
    csv, excel, json
    Updated Jul 5, 2025
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    Poidata.io (2025). Low Income Housing Programs in Massachusetts, United States - 69 Verified Listings Database [Dataset]. https://www.poidata.io/report/low-income-housing-program/united-states/massachusetts
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    json, csv, excelAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States, Massachusetts
    Description

    Comprehensive dataset of 69 Low income housing programs in Massachusetts, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  3. Public Housing

    • data.bayareametro.gov
    Updated Dec 9, 2021
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    California Department of Housing and Community Development (2021). Public Housing [Dataset]. https://data.bayareametro.gov/Structures/Public-Housing/3bj7-zyaq
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    application/rdfxml, csv, application/rssxml, xml, tsv, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    Dec 9, 2021
    Dataset provided by
    California Department of Housing & Community Developmenthttps://hcd.ca.gov/
    Authors
    California Department of Housing and Community Development
    Description

    The feature set indicates the locations, and tenant characteristics of public housing development buildings for the San Francisco Bay Region. This feature set, extracted by the Metropolitan Transportation Commission, is from the statewide public housing buildings feature layer provided by the California Department of Housing and Community Development (HCD). HCD itself extracted the California data from the United States Department of Housing and Urban Development (HUD) feature service depicting the location of individual buildings within public housing units throughout the United States.

    According to HUD's Public Housing Program, "Public Housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single family houses to high-rise apartments for elderly families. There are approximately 1.2 million households living in public housing units, managed by some 3,300 housing agencies. HUD administers federal aid to local housing agencies that manage the housing for low-income residents at rents they can afford. HUD furnishes technical and professional assistance in planning, developing and managing these developments.

    HUD administers Federal aid to local Housing Agencies (HAs) that manage housing for low-income residents at rents they can afford. Likewise, HUD furnishes technical and professional assistance in planning, developing, and managing the buildings that comprise low-income housing developments. This feature set provides the location, and resident characteristics of public housing development buildings.

    Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes:

    ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) 
    ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) 
    ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) 
    ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) 
    ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) 
     ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) 
    ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) 
    Null - Could not be geocoded (does not appear on the map) 
    

    For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information, the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10.

    HCD downloaded the HUD data in April 2021. They sourced the data from https://hub.arcgis.com/datasets/fedmaps::public-housing-buildings.

    To learn more about Public Housing visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/.

  4. Low-Income Housing Tax Credit Properties

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +1more
    Updated Nov 12, 2024
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    Department of Housing and Urban Development (2024). Low-Income Housing Tax Credit Properties [Dataset]. https://hudgis-hud.opendata.arcgis.com/maps/HUD::low-income-housing-tax-credit-properties-1/about
    Explore at:
    Dataset updated
    Nov 12, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    Created by the Tax Reform Act of 1986, the Low-Income Housing Tax Credit program (LIHTC) gives State and local LIHTC-allocating agencies the equivalent of nearly $8 billion in annual budget authority to issue tax credits for the acquisition, rehabilitation, or new construction of rental housing targeted to lower-income households. Although some data about the program have been made available by various sources, HUD's database is the only complete national source of information on the size, unit mix, and location of individual projects. With the continued support of the national LIHTC database, HUD hopes to enable researchers to learn more about the effects of the tax credit program.HUD has no administrative authority over the LIHTC program. IRS has authority at the federal level and it is structured so that the states truly administer the program. The LIHTC property locations depicted in this map service represent the general location of the property. The locations of individual buildings associated with each property are not depicted here. The location of the property is derived from the address of the building with the most units. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes:‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green)‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green)‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow)‘T’ - Census tract centroid (low degree of accuracy, symbolized as red)‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red)‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red)‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red)Null - Could not be geocoded (does not appear on the map)For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block.The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. To learn more about the Low-Income Housing Tax Credit Program visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Low Income Tax Credit Program

  5. i

    Grant Giving Statistics for Southeastern Massachusetts Affordable Housing...

    • instrumentl.com
    Updated Oct 31, 2021
    + more versions
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    (2021). Grant Giving Statistics for Southeastern Massachusetts Affordable Housing Corporation [Dataset]. https://www.instrumentl.com/990-report/southeastern-massachusetts-affordable-housing-corporation
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    Dataset updated
    Oct 31, 2021
    Area covered
    Southeastern Massachusetts, Massachusetts
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Southeastern Massachusetts Affordable Housing Corporation

  6. p

    Public Housings in Massachusetts, United States - 11 Available (Free Sample)...

    • poidata.io
    csv
    Updated May 29, 2025
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    Poidata.io (2025). Public Housings in Massachusetts, United States - 11 Available (Free Sample) [Dataset]. https://www.poidata.io/report/public-housing/united-states/massachusetts
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Massachusetts, United States
    Description

    This dataset provides information on 11 in Massachusetts, United States as of May, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

  7. Data from: Public Housing Developments

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +1more
    Updated Nov 12, 2024
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    Department of Housing and Urban Development (2024). Public Housing Developments [Dataset]. https://hudgis-hud.opendata.arcgis.com/datasets/5c96143f79c940a0a8cedae99a1ac562
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    Dataset updated
    Nov 12, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    HUD furnishes technical and professional assistance in planning, developing and managing these developments. Public Housing Developments are depicted as a distinct address chosen to represent the general location of an entire Public Housing Development, which may be comprised of several buildings scattered across a community. The building with the largest number of units is selected to represent the location of the development. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information (PII), the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10. To learn more about Public Housing visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Public Housing Developments Date Updated: Q1 2025

  8. Data from: Public Housing Authorities

    • hub.arcgis.com
    • data.lojic.org
    • +2more
    Updated Nov 12, 2024
    + more versions
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    Department of Housing and Urban Development (2024). Public Housing Authorities [Dataset]. https://hub.arcgis.com/maps/HUD::public-housing-authorities-1
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    Dataset updated
    Nov 12, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    Public Housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single family houses to high-rise apartments for elderly families. There are approximately 1.2 million households living in public housing units, managed by over 3,300 housing agencies (HAs). HUD administers Federal aid to local housing agencies (HAs) that manage the housing for low-income residents at rents they can afford. HUD furnishes technical and professional assistance in planning, developing and managing these developments. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. To learn more about Public Housing visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Public Housing Authorities Date Updated: Q1 2025

  9. F

    All-Transactions House Price Index for Massachusetts

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Massachusetts [Dataset]. https://fred.stlouisfed.org/series/MASTHPI
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    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Massachusetts
    Description

    Graph and download economic data for All-Transactions House Price Index for Massachusetts (MASTHPI) from Q1 1975 to Q1 2025 about MA, appraisers, HPI, housing, price index, indexes, price, and USA.

  10. D

    Map of Affordable Housing Pipeline

    • data.sfgov.org
    application/rdfxml +5
    Updated Oct 13, 2023
    + more versions
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    Mayor's Office of Housing and Community Development (2023). Map of Affordable Housing Pipeline [Dataset]. https://data.sfgov.org/w/d4zr-mbcm/ikek-yizv?cur=7zHApU62IXC
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    csv, application/rssxml, xml, json, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Oct 13, 2023
    Dataset authored and provided by
    Mayor's Office of Housing and Community Development
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    As of November 2023, this map has been updated to use a new format. For details, please see here.
    Snapshot of the Mayor’s Office of Housing and Community Development (MOHCD) and the Office of Community Investment and Infrastructure (OCII) affordable housing pipeline projects. The projects listed are in the process of development--or are anticipated to be developed--in partnership with non-profit or for-profit developers and financed through city funding agreements, ground leases, disposition and participation agreements and conduit bond financing. The Affordable Housing Pipeline also includes housing units produced by private developers through the Inclusionary Affordable Housing Program. Data reflects all projects as of June 30, 2023.

  11. d

    Public Housing Areas

    • opendata.dc.gov
    • catalog.data.gov
    • +1more
    Updated Mar 21, 2014
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    City of Washington, DC (2014). Public Housing Areas [Dataset]. https://opendata.dc.gov/datasets/public-housing-areas
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    Dataset updated
    Mar 21, 2014
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The DC Housing Authority provides quality affordable housing to extremely low- through moderate-income households, fosters sustainable communities, and cultivates opportunities for residents to improve their lives. The following is a subset of the District Government Land (Owned, Operated, and or managed) dataset that include buildings with a "public housing" use type.

  12. F

    New Private Housing Units Authorized by Building Permits: 1-Unit Structures...

    • fred.stlouisfed.org
    json
    Updated Jun 25, 2025
    + more versions
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    (2025). New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Massachusetts [Dataset]. https://fred.stlouisfed.org/series/MABP1FH
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    jsonAvailable download formats
    Dataset updated
    Jun 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Massachusetts
    Description

    Graph and download economic data for New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Massachusetts (MABP1FH) from Jan 1988 to May 2025 about privately owned, 1-unit structures, MA, permits, family, buildings, housing, and USA.

  13. w

    County Assisted Affordable Housing Projects Map 2003 - 2014

    • data.wu.ac.at
    csv, json, xml
    Updated Apr 17, 2015
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    County of San Mateo Housing Department (2015). County Assisted Affordable Housing Projects Map 2003 - 2014 [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/a2dpbi13OXM3
    Explore at:
    xml, json, csvAvailable download formats
    Dataset updated
    Apr 17, 2015
    Dataset provided by
    County of San Mateo Housing Department
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Locations of affordable housing projects funded through the HOME Program in San Mateo County during the period of 2003 thru 2014. Data is reported by fiscal year, so projects dated as 2013 were completed between July 1, 2013 and June 30, 2014.

    The Department of Housing (DOH), on behalf of the County of San Mateo as a qualifying jurisdiction, receives HOME Investment Partnerships Program funding from US Department of Housing & Urban Development (HUD) to build, buy and/or rehabilitate affordable housing. HOME is the largest Federal block grant to local governments designed exclusively to create affordable housing for low-income households.

  14. Public Housing Buildings

    • hub.arcgis.com
    • data.lojic.org
    • +2more
    Updated Nov 12, 2024
    + more versions
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    Department of Housing and Urban Development (2024). Public Housing Buildings [Dataset]. https://hub.arcgis.com/maps/HUD::public-housing-buildings-2
    Explore at:
    Dataset updated
    Nov 12, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    HUD administers Federal aid to local Housing Agencies (HAs) that manage housing for low-income residents at rents they can afford. Likewise, HUD furnishes technical and professional assistance in planning, developing, and managing the buildings that comprise low-income housing developments. This dataset provides the location and resident characteristics of public housing development buildings. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information (PII), the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10. To learn more about Public Housing visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/ Development FAQs - IMS/PIC | HUD.gov / U.S. Department of Housing and Urban Development (HUD), for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Public Housing Buildings Date Updated: Q1 2025

  15. w

    Map of Affordable Housing Projects

    • data.wu.ac.at
    Updated Jul 26, 2018
    + more versions
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    karen (2018). Map of Affordable Housing Projects [Dataset]. https://data.wu.ac.at/schema/data_hawaii_gov/amRzdi1lZDJr
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    Dataset updated
    Jul 26, 2018
    Dataset provided by
    karen
    Description

    This list represents an inventory of the State of Hawaii's affordable housing projects. The list includes affordable housing projects owned by private, non-profit or governmental entities, developed with funding or support from federal, state or county resources.

  16. F

    Homeownership Rate (5-year estimate) for Middlesex County, MA

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Homeownership Rate (5-year estimate) for Middlesex County, MA [Dataset]. https://fred.stlouisfed.org/series/HOWNRATEACS025017
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Middlesex County, Massachusetts
    Description

    Graph and download economic data for Homeownership Rate (5-year estimate) for Middlesex County, MA (HOWNRATEACS025017) from 2009 to 2023 about Middlesex County, MA; Boston; homeownership; MA; housing; 5-year; rate; and USA.

  17. Low and Moderate Income Areas

    • catalog.data.gov
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Low and Moderate Income Areas [Dataset]. https://catalog.data.gov/dataset/hud-low-and-moderate-income-areas
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This dataset and map service provides information on the U.S. Housing and Urban Development's (HUD) low to moderate income areas. The term Low to Moderate Income, often referred to as low-mod, has a specific programmatic context within the Community Development Block Grant (CDBG) program. Over a 1, 2, or 3-year period, as selected by the grantee, not less than 70 percent of CDBG funds must be used for activities that benefit low- and moderate-income persons. HUD uses special tabulations of Census data to determine areas where at least 51% of households have incomes at or below 80% of the area median income (AMI). This dataset and map service contains the following layer.

  18. w

    Affordable Housing Rentals Heat Map

    • data.wu.ac.at
    csv, json, xml
    Updated Apr 12, 2017
    + more versions
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    Department of Housing, County of San Mateo (2017). Affordable Housing Rentals Heat Map [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/ZXp0NC1td3Rq
    Explore at:
    csv, xml, jsonAvailable download formats
    Dataset updated
    Apr 12, 2017
    Dataset provided by
    Department of Housing, County of San Mateo
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    San Mateo County Affordable Rental Housing for Low & Moderate Income Households broken down by city. This affordable housing list is updated as needed by us and the cities, property owners and developers listed.

    For a real-time housing list of San Mateo County properties, you can visit SMCHousingSearch: http://www.smchousingsearch.org/

  19. H

    Massachusetts Housing Data 2004

    • data.niaid.nih.gov
    • dataverse.harvard.edu
    bin, xls
    Updated Jan 18, 2018
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    Census Bureau 2004 (2018). Massachusetts Housing Data 2004 [Dataset]. http://doi.org/10.7910/DVN/IPIQ44
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    bin, xlsAvailable download formats
    Dataset updated
    Jan 18, 2018
    Dataset authored and provided by
    Census Bureau 2004
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.7910/DVN/IPIQ44https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.7910/DVN/IPIQ44

    Area covered
    Massachusetts
    Description

    Housing unit estimates, Census Bureau 2004

  20. w

    Homeless Heat Map & Affordable housing

    • data.wu.ac.at
    csv, json, xml
    Updated Aug 29, 2016
    + more versions
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    County of San Mateo Department of Housing (2016). Homeless Heat Map & Affordable housing [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/MmlpZy0zcXdx
    Explore at:
    csv, json, xmlAvailable download formats
    Dataset updated
    Aug 29, 2016
    Dataset provided by
    County of San Mateo Department of Housing
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    In April 2013, the San Mateo County Board of Supervisors approved an allocation, through a "Notice of Funding Availability" (NOFA) process, of approximately $13.4 million of unrestricted General Funds for affordable housing purposes. These funds were derived from a one-time distribution of Housing Trust Funds held by former redevelopment agencies in San Mateo County. These unrestricted general funds - which initiated the County's Affordable Housing Fund (AHF) - were set aside to provide financial assistance for the development of multifamily affordable rental housing and provision of emergency and transitional shelter in the County. The Board directed the County's Department of Housing to develop allocation guidelines and recommend projects for funding. As of May 2014, approximately $13.2 million of AHF funds have been allocated, collectively, to six multifamily affordable rental housing developments and four emergency and transitional housing projects ("AHF 1.0").

    On August 5, 2014, the County Board of Supervisors authorized the Housing Authority of the County of San Mateo to publish another NOFA, using funds from the Housing Authority's Housing Assistance Program (HAP) Reserves to create affordable housing options for low-, very low-, and extremely low-income households. A total of $5 million was awarded to five projects, including three multifamily affordable housing rental developments, a homeownership project, and a farmworker housing program. This became the second funding round of the AHF ("AHF 2.0").

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Palmer, Maxwell; Einstein, Katherine Levine (2024). Replication Data for: How Affordable Housing Can Exclude: The Political Economy of Subsidized Housing [Dataset]. http://doi.org/10.7910/DVN/I0U76E

Replication Data for: How Affordable Housing Can Exclude: The Political Economy of Subsidized Housing

Related Article
Explore at:
Dataset updated
Sep 24, 2024
Dataset provided by
Harvard Dataverse
Authors
Palmer, Maxwell; Einstein, Katherine Levine
Description

Data and code to replicate the results "How Affordable Housing Can Exclude: The Political Economy of Subsidized Housing." All data on subsidized housing units provided by Housing Navigator Massachusetts (https://housingnavigatorma.org/). All demographic data retrieved from the 2018-2022 American Community Survey 5-year averages.

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